Triple

T2602098
Position Surface form Disambiguated ID Type / Status
Subject Avera St. Luke’s Hospital E58367 entity
Predicate city P40 FINISHED
Object Aberdeen E255717 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aberdeen | Statement: [Avera St. Luke’s Hospital, city, Aberdeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen
Context triple: [Avera St. Luke’s Hospital, city, Aberdeen]
  • A. Aberdeen
    Aberdeen is a major port city in northeast Scotland known for its North Sea oil industry, granite architecture, and role as a regional economic and cultural hub.
  • B. Aberdeen
    Aberdeen is a small rural town in the Upper Hunter region of New South Wales, Australia, known historically for its agricultural and meat-processing industries.
  • C. Aberdeen chosen
    Aberdeen is a small city in northeastern South Dakota known as a regional hub for agriculture, education, and rail transport.
  • D. Inverness
    Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
  • E. Dundee
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd459ca6c81908505be96d097b739 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0490328819093e78ca7b3a30af5 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:49 p.m.